[Hiring] Senior Geo Data Scientist @VRIFY

Role Description

As a Senior Geo Data Scientist, you will be at the forefront of developing advanced machine learning models that power our platform, transforming complex geospatial data into actionable predictions that directly inform mineral exploration decisions.

• Design, build, and scale machine learning systems and data pipelines for geospatial data.
• Work across the full lifecycle from data ingestion and feature engineering to model development, evaluation, and deployment.
• Develop and productionize models on high-dimensional spatial datasets.
• Ensure robust workflows, reproducibility, and performance.
• Integrate modern AI approaches into scalable systems.

Key Responsibilities

• Design and deploy machine learning models for geospatial applications, including deep learning architectures (e.g., Vision Transformers, GNNs).
• Develop scalable data pipelines for geospatial data, including preprocessing, feature engineering, sampling strategies, and spatial cross-validation.
• Build and maintain end-to-end ML workflows, ensuring reproducibility, performance optimization, and reliable generation of actionable predictions.
• Develop custom geospatial models that capture real-world spatial patterns to improve prediction accuracy and support decision-making.
• Engineer geospatial features that reflect spatial relationships and domain-specific characteristics to enhance model performance.
• Apply and advance model interpretability techniques to understand spatial patterns and quantify feature influence in complex ML models.
• Use tools like Google Earth Engine and Hugging Face to process large-scale geospatial data and integrate modern AI models into production workflow.

Qualifications

• BSc, MSc, or PhD in Computer Science, Engineering, Geoscience, or a related field, or equivalent practical experience.
• 5+ years of experience in machine learning, data science, or software development, including production ML systems.
• Strong experience with modern machine learning frameworks (e.g., PyTorch, TensorFlow, JAX, scikit-learn).
• Deep understanding of machine learning architectures (e.g., transformers, vision transformers) and approaches such as clustering and ensemble methods.
• Strong programming experience in at least one high-level language (e.g., Python).
• Experience building and deploying machine learning models in production environments.
• Experience working with geospatial data (e.g., raster data, satellite imagery, spatial datasets).

Nice-to-Have

• Experience applying deep learning architectures (e.g., Vision Transformers, GNNs) to geospatial problems.
• Experience with geospatial tools and libraries (e.g., GeoPandas, Rasterio, GDAL, QGIS, ArcGIS).
• Experience with Google Earth Engine or similar platforms.
• Experience with modern AI tooling (e.g., Hugging Face).
• Background in mineral exploration, geology, or earth sciences.

Benefits

• Health Benefits: Extensive coverage, medical, dental, and vision plans.
• Paid Time Off (PTO): Including vacation days, sick days, personal days, public holidays plus extra time during holiday season.
• Work-Life Balance: Flexible work hours, remote work options plus option to use work space in Downtown Vancouver (free snacks & gym).
• Professional Development: Career growth program to help our team unlock their potential and advance their career.
• Performance Bonuses.
• Wellness Programs: Fitness allowance, work from home allowance, mental health support.
• Retirement Plan (RRSP/DPSP).

Terms of Employment

• Full-time, Permanent, Remote work in Canada.
• Compensation - $160,000 to 170,000 CAD per year.
• Completion of a background check will be required for this position.
• Must be legally entitled to work in Canada.